Automatically Expanding the Synonym Set of SNOMED CT …
[Pages:26]Automatically Expanding the Synonym Set of SNOMED CT
using Wikipedia
Daniel R. Schlegel, Chris Crowner, and Peter L. Elkin Department of Biomedical Informatics University at Buffalo
Our Use Case for SNOMED
? Language Understanding for:
? Decision support
? Models for clinical prediction rules, disorders, etc.
? Information retrieval
? Inclusion / Exclusion criteria ? "5 minute studies"
2
Research Problem
? Automatic understanding medical text relies on terminologies
? Coverage is both in primary terms, and synonyms ? SNOMED CT used very commonly
? Has about 400,000 terms, 230,000 synonyms ? -> More synonyms would be helpful
? In some subdomains of medicine, Wikipedia is known to:
? Have excellent coverage ? Have similar accuracy to curated web sources ? Already be used in practice
So, we'd like to leverage Wikipedia to enhance the synonym set of SNOMED CT.
3
Outline
? Wikipedia Redirects ? Na?ve Synonym Harvesting
? Initial Evaluation
? Problems + Refinements
? Wikipedia Categories
? Final Evaluation ? Conclusion
4
Wikipedia Redirects
? Wikipedia articles must have unique names ? There are "shadow" articles with no content which simply redirect to
another article
? Very often are synonyms of the article's title
? Example: Heart attack redirects to myocardial infarction
5
Simple Matching Strategy
6
Initial Evaluation
? 43,580 exact matches between SNOMED CT and Wikipedia
? 42,958 concepts had new synonyms from redirects ? Extracted 446,053 new synonyms
? Random sample of 100 matches, consisting of 988 new synonyms
? 407 synonyms (41.2%) were good ? 360 synonyms (36.4%) were related, but incorrect ? 221 synonyms (22.4%) completely unrelated
This isn't very good ? we need to do better.
7
Strategy
? Understand the organization of Wikipedia better
? Category hierarchy
? Analyze initial evaluation results
? Classify matching errors ? Look for solutions
? Implement solutions and re-evaluate
8
................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- towards a better learning of near synonyms automatically
- the oxford thesaurus an a z dictionary of synonyms intro
- thesaurus the writing center
- automatically expanding the synonym set of snomed ct
- mining entity synonyms with efficient neural set generation
- automatic discovery of attribute synonyms using query logs
- synonyms and antonyms
- synonym antonym ready for pdg
Related searches
- synonym set out
- the office set location
- synonym set up for success
- which graph shows the solution set for
- synonym top of the line
- magic the gathering set checklists
- magic the gathering set release order
- magic the gathering set order
- magic the gathering set release
- snomed ct vs icd 10
- snomed ct code lookup
- automatically expanding tables in excel